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Felix Hong

PROFILE

Felix Hong

Over a two-month period, contributed to the DataBytes-Organisation/DiscountMate_new repository by building a robust data engineering and analytics pipeline. Developed an end-to-end workflow using Airflow for orchestration, Spark for processing, and MinIO for cloud storage, enabling reliable ingestion from MongoDB to PostgreSQL. Established a dbt project with custom schema macros and layered models to support granular analytics, and integrated Metabase for interactive data visualization. Enhanced onboarding and governance by revamping documentation, including comprehensive setup guides and architecture overviews. Leveraged Python, SQL, and Docker to improve data quality, reduce latency, and streamline both deployment and ongoing maintenance for data teams.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

12Total
Bugs
0
Commits
12
Features
4
Lines of code
20,547
Activity Months2

Work History

May 2025

3 Commits • 2 Features

May 1, 2025

May 2025 performance summary for DiscountMate_new: Delivered a scalable analytics foundation by implementing a dbt-based data transformation pipeline with staging, intermediate, and mart models to enable granular analytics across users, products, stores, and baskets. Set up a Metabase instance for interactive visualization. Revamped data pipeline documentation to improve onboarding, maintenance, and governance. These efforts deliver business value through faster insight, improved data reliability, and simpler data consumption for stakeholders.

April 2025

9 Commits • 2 Features

Apr 1, 2025

April 2025: Delivered a robust end-to-end data engineering pipeline for DiscountMate and established a scalable dbt project, delivering measurable business value and improved maintainability. The data pipeline uses Airflow for orchestration, MinIO for storage, Spark for processing, and MongoDB-to-PostgreSQL ingestion, including deployment/config updates and user-facing documentation. The dbt work includes project scaffolding and a schema-name macro to remove prefixes, along with developer-focused setup/docs for extensions and environment. These efforts reduce data latency, improve data quality, and accelerate onboarding for data engineers.

Activity

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Quality Metrics

Correctness94.2%
Maintainability91.8%
Architecture92.6%
Performance83.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

BashDockerfileMarkdownPythonSQLShellYAMLenv

Technical Skills

AirflowCI/CDCloud StorageData EngineeringData ModelingData VisualizationData WarehousingDatabase ConfigurationDevOpsDockerDocumentationETLMinIOMongoDBPostgreSQL

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

DataBytes-Organisation/DiscountMate_new

Apr 2025 May 2025
2 Months active

Languages Used

BashDockerfileMarkdownPythonSQLShellYAMLenv

Technical Skills

AirflowCI/CDCloud StorageData EngineeringData ModelingDatabase Configuration